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Borel laws on a separable Hilbert space are determined by basis coordinates
Statement
Assume the Axiom of Countable Choice. Let be a real Hilbert space with a finite or countable complete orthonormal basis . For each finite , define the coordinate map by . If and are Borel probability measures on and for every finite and every Borel , then .
Statement references
A real Hilbert space is a complete real inner-product space.
A complete orthonormal basis is an orthonormal family with dense linear span.
The Borel sigma-algebra is generated by the open sets.
A Borel probability law is a probability measure on the Borel sigma-algebra.
Facts & Assumptions
Given: Countable Choice, a real Hilbert space , a finite or countable complete orthonormal basis , and two Borel probability measures whose finite-coordinate pushforwards under the maps agree.
Countable Choice is assumed, as required by the Parseval supplier. The Axiom of Countable Choice ()
Each coordinate map is a continuous linear functional by Cauchy–Schwarz; continuous maps have Borel preimages of Borel sets; the inner-product norm satisfies the triangle inequality; a Borel probability law is a probability measure on the Borel sigma-algebra. Hilbert space Cauchy–Schwarz: , with equality exactly for dependent pairs A continuous map has Borel preimages of Borel sets The induced length is a norm A norm on a real vector space, the induced metric, and the dictionary with the metric axioms The Borel sigma-algebra of a topological space Borel probability law on a polish space Probability measures and probability spaces
For a complete orthonormal family in a Hilbert space, Countable Choice implies Parseval's identity for every . Parseval equivalences for an orthonormal family
The rationals are countable and dense in the reals, finite products of at most countable sets are at most countable, and under Countable Choice a countable union of at most countable sets is at most countable. is countably infinite Both and are dense in , and every nonempty open subset of is uncountable A product of two at most countable sets is at most countable Every subset of an at most countable set is at most countable Countable unions of at most countable sets, assuming
Finite measures agreeing on a generating pi-system and on the whole space agree on the generated sigma-algebra. Finite measures agreeing on a generating pi-system and on the whole space are equal
The norm topology is the induced metric topology: every open set contains a metric ball about each of its points, and positive-radius metric balls are open. Open ball, closed ball and sphere in a metric space The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed
Finite sums, products, and lattice operations of Borel real functions are Borel measurable. Arithmetic and lattice operations preserve measurability whenever they are defined
Proof
Given: The hypotheses in the Statement.
If , then it has only one Borel probability measure and the conclusion holds. Otherwise, let be the family of all finite coordinate cylinder sets , where is finite and is Borel. Each cylinder is Borel by continuity in [F1]. The family contains , and the intersection of two cylinders is the finite-coordinate cylinder obtained on the union of their index sets. Hence is a pi-system.
Enumerate the basis if it is infinite, and in the finite case repeat the last partial sum after all basis vectors have appeared. For and , put . By [F2], , so Indeed, if , choose a rational strictly between these two numbers; conversely, membership in one intersection gives . By [F1] and [F6], each is Borel, and is a cylinder over a Borel subset of . Thus every open ball belongs to .
Let be the set of all finite rational linear combinations of basis vectors. If the basis is finite, is at most countable by [F3]. If it is countably infinite, enumerate it and write as the union over of the sets of rational linear combinations of the first vectors. Each of those sets is at most countable by [F3], so their union is at most countable by the Countable Choice clause of [F3]. The real span of the basis is dense by completeness. Each finite real linear combination is approximated by a rational one: approximate each of its finitely many coefficients by a rational and use the triangle inequality and . Thus is dense in . By definition, this makes separable. Separability: the existence of an at most countable dense subset The balls with and positive rational form an at most countable family by [F3], and they are open by [F5]. They are a base: given with open, choose with , then with , and a rational with . The triangle inequality gives . By step 2.1 every such ball lies in , so every open set, as a union of a subfamily of this countable base, lies in .
Every coordinate map is continuous by [F1], so . Step 3.1 and the definition of the Borel sigma-algebra give the reverse inclusion. Thus .
The assumed equality of finite-coordinate measures makes and agree on every cylinder in . They are probability measures, so they agree on as well. The pi-system generates by step 4.1; [F4] therefore gives .
Depends on
- The Borel sigma-algebra of a topological space
- Borel probability law on a polish space
- Finite, countably infinite, countable, uncountable
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Hilbert space
- Open ball, closed ball and sphere in a metric space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- Orthonormal families, complete orthonormal systems and Hilbert bases
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- Probability measures and probability spaces
- Separability: the existence of an at most countable dense subset
- Finite measures agreeing on a generating pi-system and on the whole space are equal
- Every subset of an at most countable set is at most countable
- Both $\mathbb{Q}$ and $\mathbb{R} \setminus \mathbb{Q}$ are dense in $\mathbb{R}$, and every nonempty open subset of $\mathbb{R}$ is uncountable
- The induced length is a norm
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- Arithmetic and lattice operations preserve measurability whenever they are defined
- A continuous map has Borel preimages of Borel sets
- Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed
- Parseval equivalences for an orthonormal family
- Countable unions of at most countable sets, assuming $\mathrm{AC}_\omega$
- A product of two at most countable sets is at most countable
- $\mathbb{Q}$ is countably infinite
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Sources
- Gerald Teschl, Topics in Real and Functional Analysis, §2.1, Theorems 2.3–2.4 (standard reference, not scraped)